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4 items · 3 sources · 4 days

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Operational story trace

Question Answering

Latest change

LibriSpeech-Real-QA (Nov 4) is a benchmark for streaming question answering, where speech LLMs must respond before the full audio segment has arrived.

Earlier contextThe story so far

Late-October arXiv papers attacked question answering where plain LLM calls fall short: tables in document images and knowledge graphs without QA annotations. A multilingual multi-hop document QA paper then added agentic skills.

editor-curated · source-linked

Arc

Oct 23Nov 4 · now
DOCUMENTS & GRAPHS · Oct 23–26
Self-evaluation and self-evolution for table and knowledge-graph QA
2 sources · show sources ▾
AGENTIC · Oct 27
DocSkill brings skill-integrated agents to multilingual multi-hop document QA
1 source · show source ▾
NOW · Nov 4
LibriSpeech-Real-QA benchmarks streaming question answering for speech LLMs
1 source · show source ▾

What to watch — open questions

  • Do any of these methods report results that hold up outside their own benchmarks?
  • Will speech LLMs show measurable accuracy loss when answering before the full audio arrives?
How this thread was built
editor wrote the arc · 3 beats

Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.